Available transfer capability enhancement with FACTS using hybrid PI-PSO

Abstract

In deregulation, growth in electrical loads necessitates improving power delivery, while nondiscriminatoryaccess to transmission grid is a requirement. Deregulation causes a significant rise in transactions, which requires adequatetransfer capability to secure economic transactions. In sustainable power delivery, FACTS devices are deployed to enhanceavailable transfer capability (ATC). However, the high investment cost of FACTS makes the problem formulation amultiobjective optimization: power transfer maximization and minimization of FACTS sizes. Furthermore, due to thecomplexity in optimizing the control variables of voltage source converter types of FACTS, often the solution results inlocal optima and high computational time. This paper proposes a hybrid of real power flow performance index sensitivity(∂P I ) and particle swarm optimization (PI-PSO) to solve the multiobjective optimization of ATC maximization withminimum FACTS sizes using continuation power flow. ∂P I identifies some high-potential locations with enhanced ATCat minimum FACTS size to constitute the PSO’s reduced search space. As ∂P I may exhibit masking effects, iterativen-exponent and Newton’s divided difference approaches are proposed to reduce masking. The proposed PI-PSO isimplemented with a thyristor control series compensator and static synchronous series compensator for both bilateraland multilateral transactions. Results show the effectiveness of the proposed PI-PSO over PSO regarding convergencecharacteristics, avoidance of local optima, and superior ATC values.